Literature DB >> 22360922

A novel training model for the loop electrosurgical excision procedure: an innovative replica helped workshop participants improve their LEEP.

Lukas Hefler1, Christoph Grimm, Verena Kueronya, Clemens Tempfer, Alexander Reinthaller, Stephan Polterauer.   

Abstract

We wanted to evaluate the feasibility and effect of a hands-on loop electrosurgical excision procedure (LEEP) 2.5-day intensive surgical skills workshop, using a novel training model on porcine tissue. Hands-on simulation-based training was conducted to emphasize colposcopy, local anesthesia, uterine cervix and vulva punch biopsy, LEEP, and complication management. Performance of 51 participants' technical skills was assessed before and after training completion. LEEP performance was significantly better after completion of the training (P < .001). Before and after training mean scores (SD) of 18.0 (3.5) and 23.4 (2.1) were assessed. Multivariate analysis revealed that the training effects were independent of previous surgical expertise. The LEEP workshop was feasible and effective and we recommend implementing hands-on LEEP training into gynecology training programs.
Copyright © 2012 Mosby, Inc. All rights reserved.

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Year:  2012        PMID: 22360922     DOI: 10.1016/j.ajog.2012.01.016

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  9 in total

1.  [Medical University of Vienna Researcher of the Month of March 2013].

Authors:  Christoph Grimm
Journal:  Wien Klin Wochenschr       Date:  2013-03       Impact factor: 1.704

2.  Hybrid simulation compared to manikin alone in teaching pelvic examinations: a randomised control trial.

Authors:  Kristyn Manley; Sian Edwards; Jane Mears; Dimitrios Siassakos
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2016-02-01

3.  The impact of Loop Electrosurgical Excision Procedure and cold-knife conization training model on the surgical skills and confidence level.

Authors:  İlker Selçuk; Burak Ersak; Mutlu Umaroğlu; Şule Özel; Hakan Yalçın; Yusuf Üstün; Yaprak Engin-Üstün
Journal:  Turk J Obstet Gynecol       Date:  2020-07-29

4.  Evaluating a novel 3D printed model for simulating Large Loop Excision of the Transformation Zone (LLETZ).

Authors:  Matthias Kiesel; Inga Beyers; Adam Kalisz; Achim Wöckel; Sanja Löb; Tanja Schlaiss; Christine Wulff; Joachim Diessner
Journal:  3D Print Med       Date:  2022-06-08

5.  Surgical performance of large loop excision of the transformation zone in a training model: A prospective cohort study.

Authors:  Günther A Rezniczek; Sofia Severin; Ziad Hilal; Askin Dogan; Harald Krentel; Bernd Buerkle; Clemens B Tempfer
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

6.  A randomized comparison of video demonstration versus hands-on training of medical students for vacuum delivery using Objective Structured Assessment of Technical Skills (OSATS).

Authors:  Ziad Hilal; Anne K Kumpernatz; Günther A Rezniczek; Cem Cetin; Eva-Katrin Tempfer-Bentz; Clemens B Tempfer
Journal:  Medicine (Baltimore)       Date:  2017-03       Impact factor: 1.889

7.  The Effectiveness of Bioskills Training for Simulated Open Lumbar Laminectomy.

Authors:  Barrett S Boody; Brett D Rosenthal; Tyler J Jenkins; Alpesh A Patel; Jason W Savage; Wellington K Hsu
Journal:  Global Spine J       Date:  2017-06-23

8.  Introducing a novel model for simulating large loop excision of the transformation zone (LLETZ) using 3D printing technique.

Authors:  Matthias Kiesel; Inga Beyers; Adam Kalisz; Achim Wöckel; Saskia-Laureen Herbert; Carolin Curtaz; Joachim Diessner; Ralf Joukhadar; Christine Wulff
Journal:  Arch Gynecol Obstet       Date:  2021-09-07       Impact factor: 2.344

9.  Influence of training level on cervical cone size and resection margin status at conization: a retrospective study.

Authors:  Eliana Montanari; Christoph Grimm; Richard Schwameis; Lorenz Kuessel; Stephan Polterauer; Chiara Paternostro; Heinrich Husslein
Journal:  Arch Gynecol Obstet       Date:  2018-03-30       Impact factor: 2.344

  9 in total

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